The surprising persistence of symmetry protected topology

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Abstract/Contents

Abstract
Symmetry protected topological (SPT) systems are important both from a theoretical perspective, where they can provide new insight into order, symmetry, and topology, and from an applied standpoint, where they could form the basis for novel technologies. Yet for the most part, SPT systems are understood only in idealized settings. This thesis opens the door to the study of SPT systems under more realistic conditions. By theoretically and computationally investigating three physically motivated scenarios involving strong interaction, strong disorder, and quench dynamics, we demonstrate that signatures of topology can persist, in some form or another, when conditions are far from ideal. While these investigations focus on one class of model systems, we argue that the observed persistence of topological signatures should be characteristic of SPT systems, regardless of spatial dimension or protecting symmetries.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2022; ©2022
Publication date 2022; 2022
Issuance monographic
Language English

Creators/Contributors

Author Marks, Jacob Austin
Degree supervisor Devereaux, Thomas Peter, 1964-
Degree supervisor Qi, Xiaoliang
Thesis advisor Devereaux, Thomas Peter, 1964-
Thesis advisor Qi, Xiaoliang
Thesis advisor Khemani, Vedika
Thesis advisor Ying, Lexing
Degree committee member Khemani, Vedika
Degree committee member Ying, Lexing
Associated with Stanford University, Department of Physics

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Jacob A. Marks.
Note Submitted to the Department of Physics.
Thesis Thesis Ph.D. Stanford University 2022.
Location https://purl.stanford.edu/bm224xz2966

Access conditions

Copyright
© 2022 by Jacob Austin Marks
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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